Optimal Placement of Reclosers in a Radial Distribution System for Reliability Improvement

There is a need for the optimal positioning of protective devices to maximize customers satisfaction per their demands. Such arrangement advances the distribution system reliability to maximum achievable. Thus, radial distribution system (RDS) reliability can be improved by placing reclosers at suitable feeder sections. This article presents comprehensive details of an attempt to determine the reclosers’ optimal location in an RDS to maximize the utility profit by reliability improvement. Assessment of different reliability indices such as SAIDI, SAIFI, CAIFI, CAIDI, etc., with recloser placement, exhibits a considerable improvement in these indices in contrast with the absence of recloser. Consequently, a new bidirectional formulation has been proposed for the optimized arrangement of reclosers’. This formulation efficiently handles the bidirectional power flow, resulting from distributed generation (DG) unit (s) in the system. The proposed model has been solved for a test system by utilizing the Genetic algorithm (GA) optimization method. Later, test results conclude that reclosers’ optimal placement contributes significantly towards utility profit with minimum investment and outage costs.

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Coordinated planning in improving power quality considering the use of nonlinear load in radial distribution system

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v11i6.pp4610-4621 ◽

2021 ◽

Vol 11 (6) ◽

pp. 4610

Author(s):

Muhira Dzar Faraby ◽

Ontoseno Penangsang ◽

Rony Seto Wibowo ◽

Andi Fitriati

Keyword(s):

Power Quality ◽

Radial Distribution ◽

Distribution System ◽

Optimization Technique ◽

Electrical Energy ◽

Optimization Method ◽

Test System ◽

Nonlinear Load ◽

Radial Distribution System ◽

Matlab Programming

<span lang="EN-US">Power quality has an important role in the distribution of electrical energy. The use of non-linear load can generate harmonic spread which can reduce the power quality in the radial distribution system. This research is in form of coordinated planning by combining distributed generation placement, capacitor placement and network reconfiguration to simultaneously minimize active power losses, total harmonic distortion (THD), and voltage deviation as an objective function using the particle swarm optimization method. This optimization technique will be tested on two types of networks in the form 33-bus and 69-bus IEEE Standard Test System to show effectiveness of the proposed method. The use of MATLAB programming shows the result of simulation of increasing power quality achieved for all scenario of proposed method.</span>

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Enhancing radial distribution system performance by optimal placement of DSTATCOM

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v10i3.pp2850-2860 ◽

2020 ◽

Vol 10 (3) ◽

pp. 2850

Author(s):

S. F. Mekhamer ◽

R. H. Shehata ◽

A. Y. Abdelaziz ◽

M. A. Al-Gabalawy

Keyword(s):

Radial Distribution ◽

Distribution System ◽

Power Loss ◽

Optimization Methods ◽

Optimization Method ◽

Optimal Placement ◽

Total Power ◽

Voltage Profile ◽

Radial Distribution System ◽

Static Compensator

In this paper, A novel modified optimization method was used to find the optimal location and size for placing distribution Static Compensator in the radial distribution test feeder in order to improve its performance by minimizing the total power losses of the test feeder, enhancing the voltage profile and reducing the costs. The modified grey wolf optimization algorithm is used for the first time to solve this kind of optimization problem. An objective function was developed to study the radial distribution system included total power loss of the system and costs due to power loss in system. The proposed method is applied to two different test distribution feeders (33 bus and 69 bus test systems) using different Dstatcom sizes and the acquired results were analyzed and compared to other recent optimization methods applied to the same test feeders to ensure the effectiveness of the used method and its superiority over other recent optimization mehods. The major findings from obtained results that the applied technique found the most minimized total power loss in system ,the best improved voltage profile and most reduction in costs due power loss compared to other methods .

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